, and E. Nilsen “Teaching Cybersecurity Analysis Skills in the Cloud”, in Proceedings of the 46th ACM Technical Symposium on Computer Science Education, SIGCSE 2015, ACM, New York, NY, USA, pp. 332–337.17. M. Micco and H. Rossman, “Building a cyberwar lab: lessons learned: teaching cybersecurity principles to undergraduates”, in Proceedings of the 33rd SIGCSE technical symposium on Computer science education, SIGCSE 2002, ACM, New York, NY, USA, pp. 23–27.18. F. B. Schneider, "Cybersecurity Education in Universities," IEEE Security & Privacy, vol. 11, no. 4, pp. 3–4, 1 Aug. 2013.
Paper ID #26543Library Partnerships to Support Data Analytics Engineering ProgramsMs. Wendy Mann, George Mason University Wendy Mann is the Director of the Digital Scholarship Center (DiSC) at George Mason University Li- braries.Ms. Theresa M. Calcagno, George Mason University Theresa Calcagno is the Librarian to the Volgenau School of Engineering at George Mason University in Fairfax, VA. Prior to that, Calcagno was a Research Librarian for an engineering project consulting firm.Deborah Ann Kermer, George Mason University Deborah Ann Kermer is the Data Services Research Consultant at the Digitial Scholarship Center in the
-teacherperformed a series of walking movements similar to the robot and the teacher instructed thestudents to identify the graph corresponding to each walking movement performed by the co-teacher and write a brief description about their findings. For the second activity, all the studentsin the class sat together as a group and a motion sensor was placed in front of the class. Now, asthe co-teacher performed the same series of walking movements as previously, the motion sensorcaptured the movements and displayed their graphical representations on the screen. Next, allstudents were tasked with comparing the graphical outputs obtained using the motion sensor withtheir previous predictions and determine if their predictions were correct. Figure 1(b) shows
education,” Engineering Education, vol. 6, no. 2, pp.39-46, 2011.[9] M. J. Graham, J. Frederick, A. Byars-Winston, A. B. Hunter, and J. Handelsman, “Increasing persistence of college students in STEM.,” Science, vol. 341, no. 6153, pp.1455-1456, 2013.[10] C. Fleischmann, E. Nakagawa, and T. Kelley, “Redesigning the student learning approach through personality types and pedagogies: A case study in an undergraduate engineering course,” Universal Journal of Educational Research, vol. 4, no. 2, pp. 426-431, 2016. doi:10.13189/ujer.2016.040217[11] ABET. “Criteria for evaluating engineering programs, 2018-19.” Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting
. Veenstra, M. K. Orr, N. M. Ramirez, M. W. Ohland, and R. A. Long, “Gaining Access or Losing Ground? Socioeconomically Disadvantaged Students in Undergraduate Engineering 1994-2003,” J. Higher Educ., vol. 85, no. 3, pp. 339–369, 2014.[5] J. M. Smith and J. C. Lucena, “Invisible innovators: how low-income, first-generation students use their funds of knowledge to belong in engineering,” Eng. Stud., vol. 8629, no. March, pp. 1–26, 2016.[6] J. Smith and J. Lucena, ““How Do I Show Them I’m More Than A Person Who Can Lift Heavy Things?” The Funds Of Knowledge Of Low Income, First Generation Engineering Students,” J. Women Minor. Sci. Eng., vol. 22, no. 3, pp. 1–45, 2016.[7] G. Zhang, T. J. Anderson, M. W. Ohland, and B
The CFA model was created on 6th-grade students to evaluate the extent to which thehypothesized model was a good fit to the observed data using a priori that: a) response toengagement can be explained by four factors; b) each item would have a non-zero loading on theburnout factor it was designed to measure, and zero loadings on all other factors; c) the fourfactors would be correlated; and d) measurement error terms would be uncorrelated. All analysiswas based on covariance matrices. The analysis in this study was run to explore the goodness ofthe fit of the model. Figure 1: CFA model of the 6th-grade engagement survey Preliminary analysis indicates that all factor loading, factor variances, covariance, anderror
at the University of Western Ontario. I earned my PhD, MS, and BS in Electrical & Computer Engineering from Michigan State University in East Lansing. Before completing my PhD, I joined Intel Incorporation to work on the P6 line of processors and chipsets. While pursuing my PhD, I developed a financial web application that helped colleges at Michigan State University to streamline their finances.Matthew Schweinefuss c American Society for Engineering Education, 2019 Data-Driven Investigation of Curiosity in Student Text Responses1. IntroductionLearning how to learn and apply new knowledge is a vital skill students need to develop. Astudent’s
in the Freshman Engineering Course.” 2013;(11-12):644. http://libproxy.udayton.edu/login?url=https://search.ebscohost.com/login.aspx?direct=tr ue&db=edsfra&AN=edsfra.27976806&site=eds-live. Accessed January 30, 2019.[5] B. Bowling, M. Doyle, J. Taylor, and A, Antes, “Professionalizing the Role of Peer Leaders in STEM.” Journal of STEM Education: Innovations and Research, 16(2), 30–39, 2015. Retrieved from http://libproxy.udayton.edu/login?url=https://search.ebscohost.com/login.aspx?direct=tru e&db=eric&AN=EJ1070122&site=eds-live[6] A Ilumoka, I. Milanovic, and N. Grant, “An Effective Industry-Based Mentoring Approach for the Recruitment of Women and Minorities in
confusing or unclear conversations? • Can you recall a positive project communication? 3 • If you were the project leader, how would you ensure excellent communication between team members? • Knowing what you know now, what skills would you want to improve on in an educational setting?B. Data analysisGrounded Theory Method (GMT) was chosen to analyze the word and themes in the interviewdata, rather than collecting numerical data from very structured, closed questions. The premiseof this study was to encourage the interviewees to talk freely and in their own words about theirexperiences and ask them to reflect on what might have
of Mass and Momentum 7. Coefficient of Pressure 17. Conservation of Energy 8. How Lift is Generated and Calculation 18. Thrust Equation and Design of Lift and Coefficient of Lift (F-15 Considerations (Activity) Activity) 19. Radial, Turbojet Engine 9. Concept and Importance of Wing 20. Turbofan, Turboprop and Propeller Loading (Flight Sim Activity) Engines a. Takeoff Performance 21. Flight Dynamics and Stability (Activity) b. Landing Performance 22
Further and Higher Education, vol. 25, no. 1, pp. 85-95, 2001/02/01 2001.[13] S. E. Shadle, A. Marker, and B. Earl, "Faculty drivers and barriers: laying the groundwork for undergraduate STEM education reform in academic departments," International Journal of STEM Education, journal article vol. 4, no. 1, p. 8, April 13 2017.[14] K'Nex. (2018). Available: https://www.knex.com/[15] J. I. Glickman and M. F. Doepner, "Offset matrix adapter for toy construction sets," ed: Google Patents, 2010.[16] J. Glickman and M. F. Doepner, "Construction toy component," ed: Google Patents, 2007.[17] K. P. Hussa-Lietz, "Method of constructing a three-dimensional structure with a multi- part construction toy set
indicated, the program included a rigorous daily evaluation of (a) the overall effectivenessof the in-class lectures and related training, as well as (b) the overall relevance of the coveredtopics, hands-on workshops, and team exercises - both toward empowering students to address thewater engineering challenges at hand (Figure 3b). Most offered lectures appear to have beenperceived as effective in students’ minds, and that should not come as a surprise given the fact thelecturers were instructed to highlight the connections between the presented background materialand the following hands-on exercises. Students have assessed ~20% of the workshops theyattended as highly relevant to the open-ended water engineering design challenges. Interestingly
/ [Downloaded March 9, 2018][12] F. Garafalo and V. LoPresti. Evolution of an integrated college freshman curriculum.Journal of Chemical Education. 70,5. Pgs 352-359. 1993[13] B. Ronald. The limits of competence. Knowledge, higher education and society. OpenUniversity Press. Bristol, PA 1994[14] E. O’Herrin. Enhancing Veteran Success in Higher Education, “Peer Review” (Associationof American Colleges and Universities) Vol. 13, No. 1(Winter 2011).[15] G. Ford and J. Ford. Translating United States military occupational specialties traininginto college credit at a regional, comprehensive university. Proceedings of the AmericanSociety of Engineering Education, New Orleans, LA. 2015[16] E. Pascarella and P. Terenzini. How college affects students: A third
the main focus of MANE 201. The covered topics and schedule is asbelow Table 2. A final prototype is illustrated in Figure 1 (b). Table 2 Topics and Schedule in MANE 201 Week Topic HW ASSIGNMENT 1 Introduction and safety training 2 Digital design of pump HW1 3 Generate bill of materials (BOM) and process planning HW2 4 3D print of impellers 5 Fabricate pump body using saw and mill Lab assignment 1 6 Fabricate face plate using saw and mill
(MEIDT) at NewYork City College of Technology has been working on strengthening the skills of its students inmanufacturing and design to respond to the urgent needs of the manufacturing industry ingeneral, and the prosthetic and medical devices (P&MD) industries in particular, to high-skilledengineers and technicians and to provide a national model for advanced technology education.Medical Devices include: (a) Surgical and medical instruments; (b) Surgical appliances andsupplies; and (c) Dental equipment and supplies. The educational merit of the project is that itmotivates students to do engineering rather than studying engineering. Students get theopportunity to connect classroom experience to the medical device industry through
education and practice, Vol. 135, No. 1, 21-30.Tinker, A., & Burt, R. (2004). Greening the construction curriculum. International Journal ofConstruction Education and Research, 1(1), 26-33.Levitt, R. (2007). CEM research for the next 50 years: maximizing economic, environmental,societal value of the built environment. ASCE Journal of construction engineering andmanagement, Vol. 133, No. 9, 619-628.Becerik-Gerber, B., Gerber, D. J., & Ku, K. (2011). The pace of technological innovation inarchitecture, engineering, and construction education: integrating recent trends into thecurricula. Journal of Information Technology in Construction (ITcon), 16(24), 411-432.Ahn, Y. H., Annie, R. P., & Kwon, H. (2012). Key competencies for US
. Wilson G (2016) Software Carpentry: Lessons learned [version 2]. F1000Research 3:62.14. The Carpentries (https://carpentries.org/).15. Ekmekci B, McAnany CE, & Mura C (2016) An introduction to programming for bioscientists: A Python-based primer. PLOS Computational Biology 12:e1004867.16. Hall T & Stacey JP (2009) Chapter 2: Designing Software. Python 3 for Absolute Beginners, (Springer, New York).17. Hamby DM (1994) Review of techniques for parameter sensitivity analysis of environmental models. Environmental Monitoring and Assessment 32:135-154.18. Hartmann AK (2015) Big Practical Guide to Computer Simulations (World Scientific, Hackensack, NJ) 2nd Ed.19. Hemez FM & Kamm JR (2008) A brief overview of
.”Teaching in Higher Education 12(4):447–60, 2007.[25] D.V. Perkins, and R.N. Saris, “A ‘Jigsaw Classroom’ Technique for Undergraduate Statistics Courses.”Teaching of Psychology 28(2):111–13, 2001.[26] S.Yamarik, “Does Cooperative Learning Improve Student Learning Outcomes?” Journal of EconomicEducation 38:259–77, 2007.[27] P. Baker, “Does the Sociology of Teaching Inform Teaching Sociology?” Teaching Sociology 12(3):361–75,1985.[28] J. Chin, “Is There a Scholarship of Teaching and Learning in Teaching Sociology? A Look at Papers from 1984to 1999.” Teaching Sociology 30(1):53–62, 2002.[29] B. Lucal, C. Albers J. Ballantine, J. Burmeister-May, J. Chin, S. Dettmer, and S. Larson. “Faculty Assessmentand the Scholarship of Teaching and Learning
responses to the questions, “How confident are you in your ability to besuccessful in this course?” (Entry Survey) and, “Do you think you were successful in this course?”(Exit Survey)Figure 3: Distribution of responses to the statement, “I find computer programming intimidating.”Figure 4: Distribution of responses to the statement, “I believe that other students in computerprogramming courses will be welcoming of me.”(a) Self-Efficacy. Within-subjects (time) is sta- (b) Intimidation by Programming. No statistical (c) Inclusion. Within-subjects (time) is statisti-tistically significant, as is time * URM Status. significance. cally significant. Figure 5: Summary of mixed model ANOVA
Bandura’s general social cognitive theory.This study implemented a non-experimental, quantitative methods approach to data collectionand analysis. A cross-sectional survey design was used as it was the most effective method incollecting large quantities of data quickly and efficiently. The study was non-experimentalbecause the independent variables were not manipulated in any way and there was no controlgroup to compare the results of the study. The independent variables used in the study weregender and ethnicity. The dependent variables were a) high school academic success, b)influences, c) personal interests, and d) self-efficacy. The study was developed to reveal thevarious motivational factors that impacted students’ decisions to enroll in an
, whatis expected of him/her at the end of studies and how the achievement of the learning results willbe evaluated. In addition, the use of learning outcomes increases the coherence of the teaching-learning model centered on the student since it establishes a link between content of learning,training activities and techniques, evaluation methodologies and final outputs.In this way, learning outcomes are of interest: a) for universities when they carry out thedefinition of their qualifications and the training of their students, essentially through theirsubjects; b) at the national level when the definition of the framework for qualifications orexternal evaluation and quality assurance; and c) in the international arena with the purpose
on Wednesday of Week 5) (a) Cartesian (b) Normal/Tangential (c) Polar Assignment On Paper Draw an FBD and a KD of the problem. (Assigned on Monday of Week 6) In-class Quiz Draw an FBD and a KD of the problem. (Friday of Week 7) Online Assignment Use MATLAB code to represent the summation of (Assigned on Monday of Week 9) forces in the radial direction. The FBD and KD are included in the problem description. Assignment On Paper Solve the problem. (Assigned on Monday of Week 9)For this problem
; Exposition. Washington, DC: American Society for Engineering Education. 2) Jonassen, D. H. (2014). Engineers as problem solvers. In A. Johri & B. M. Olds (Eds.), Cambridge Handbook of Engineering Education Research (pp. 103-118). Cambridge, England: Cambridge University Press. 3) Jonassen, D., Strobel, J., & Lee, C. B. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139-151. 4) Cross, N., & Cross, A. C. (1998). Expertise in engineering design. Research in engineering design, 10(3), 141-149. 5) Bucciarelli, L. (1996). Designing Engineers. Cambridge, MA: The MIT Press. 6) Gainsburg, J. (2007). The mathematical disposition of
with the other ethnicities, which included primarily African American andHispanic. Figures 1(a) and 1(b) describe the ethnicity distribution of participating faculty sortedby gender. These figures indicate that the women faculty group was more racially diverse than themen, as none of the men were African American nor Hispanic. It is important to note that mostCSU campuses are designated as an HSI, but that ethnicity was not very well represented in facultyresponding to the survey. (a) (b) Figure 1: Racial distribution among the participating facultyAs far as ranks of the faculty are considered, the number of tenure-track faculty (N = 40) washigher than tenured
, meaning that students did not organize or connectconcepts in a functional way. For example, student A’s pre-concept map uses topics that werediscussed during the first-class meeting (response to disaster, resiliency, preparation, etc.) toorganize their knowledge, while student G uses more fixed categories (actions, organizations,stakeholders, etc.) to organize their map. Examples of pre- and post- concept maps for studentsA, C, G, and J are given in Appendix A.Students varied in their growth from the pre- to post-concept map. Figure 1 shows the pre- andpost-concept map scores by student. Some students, like G and H, show no growth based on thescoring system. Other students, like B and C, whose pre-concept maps were already towards thetop of the
. IEEE, 2009, pp. 1–6.[11] M. Ohland and R. Long, “The Multiple-Institution Database for Investigating Engineering Longitudinal Development: an experientail case study of data sharing and reuse,” Advances in Engineering Education, vol. 5, no. 2, pp. 1–25, 2016.[12] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, engagement, and migration in engineering programs,” Journal of Engineering Education, vol. 97, no. 3, pp. 259–278, 2008.[13] B. W.-L. Packard, J. L. Gagnon, O. LaBelle, K. Jeffers, and E. Lynn, “Women’s experiences in the STEM community college transfer pathway,” Journal of Women and Minorities in Science and Engineering, vol. 17, no. 2, pp. 129–147, 2011.[14] C
technologies.The type of higher education SET programmes which are suitable for countries such as Afghanistanwill be discussed in the next section of this paper.5. Recommendations for future changesTo enhance higher education in SET subjects the following steps may be necessary: a. Make a thorough assessment of STEM education at school and hence determine suitable steps that must be taken to improve STEM education at this level. b. It will be a major advantage if the medium of teaching at high school is converted from local languages to English as the students can benefit from freely available online materials. c. The curriculums of the SET programmes
hands-on activities. b. SPSS is instructed to students via video recordings and in-class lectures. c. R is instructed students via readily available resources in the internet.Students are assigned to solve software-driven SPC problems in parts of the course assignments as well as thesemester project of the course. The assignment questions were instructor’s own questions that could not befound in textbooks. The course project required students to work in groups to identify and solve a problem byworking with a manufacturer, health care provider or service provider in the area. Students had the freedom tochoose the software package for their in-class presentation and the written report. All project groups used a mixof the
the take-home project. Students were provided with somesimulation examples relevant to the real world. Topics for recommendation included (a)gambling games; (b) biological evolution; (c) finance; (d) social network; (e) forensic science;etc. Depending on the students programming background, some template codes that wereamenable to plug-and-play experimentation were provided to facilitate the activity and reducethe effort of writing a program. Those who wished to write their own programs were stronglyencouraged to do so. In both cases, students were asked to examine and manipulate the pythoncode provided.During the discussion and review session, students would compare their results and discussopen-ended questions that related to the project
Paper ID #25982Using the KEEN Framework and the System Engineering Approach for De-sign and Development of Affordable Wireless Power Transfer using InductiveCoupling for Application in Earphone ChargingProf. John M. Santiago Jr, Colorado Technical University Professor John Santiago has been a technical engineer, manager, and executive with more than 26 years of leadership positions in technical program management, acquisition development and operation research support while in the United States Air Force. He currently has over 18 years of teaching experience at the university level and taught over 40 different graduate and